Search (30 results, page 1 of 2)

  • × author_ss:"Wolfram, D."
  1. Dimitroff, A.; Wolfram, D.: Searcher response in a hypertext-based bibliographic information retrieval system (1995) 0.03
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    Source
    Journal of the American Society for Information Science. 46(1995) no.1, S.22-29
  2. Lu, K.; Cai, X.; Ajiferuke, I.; Wolfram, D.: Vocabulary size and its effect on topic representation (2017) 0.03
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    Abstract
    This study investigates how computational overhead for topic model training may be reduced by selectively removing terms from the vocabulary of text corpora being modeled. We compare the impact of removing singly occurring terms, the top 0.5%, 1% and 5% most frequently occurring terms and both top 0.5% most frequent and singly occurring terms, along with changes in the number of topics modeled (10, 20, 30, 40, 50, 100) using three datasets. Four outcome measures are compared. The removal of singly occurring terms has little impact on outcomes for all of the measures tested. Document discriminative capacity, as measured by the document space density, is reduced by the removal of frequently occurring terms, but increases with higher numbers of topics. Vocabulary size does not greatly influence entropy, but entropy is affected by the number of topics. Finally, topic similarity, as measured by pairwise topic similarity and Jensen-Shannon divergence, decreases with the removal of frequent terms. The findings have implications for information science research in information retrieval and informetrics that makes use of topic modeling.
    Content
    Vgl.: http://www.sciencedirect.com/science/article/pii/S0306457317300298.
    Source
    Information processing and management. 53(2017) no.3, S.653-665
  3. Wolfram, D.; Dimitroff, A.: Hypertext vs. Boolean-based searching in a bibliographic database environment : a direct comparison of searcher performance (1998) 0.02
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    Source
    Information processing and management. 34(1998) no.6, S.669-679
  4. Wolfram, D.; Volz, A.; Dimitroff, A.: ¬The effect of linkage structure on retrieval performance in a hypertext-based bibliographic retrieval system (1996) 0.01
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    Source
    Information processing and management. 32(1996) no.5, S.529-541
  5. Wolfram, D.: Search characteristics in different types of Web-based IR environments : are they the same? (2008) 0.01
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    Source
    Information processing and management. 44(2008) no.3, S.1279-1292
  6. Ajiferuke, I.; Wolfram, D.: Analysis of Web page image tag distribution characteristics (2005) 0.01
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    Source
    Information processing and management. 41(2005) no.4, S.987-1002
  7. Wolfram, D.; Xie, H.I.: Traditional IR for web users : a context for general audience digital libraries (2002) 0.01
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    Source
    Information processing and management. 38(2002) no.5, S.627-648
  8. Ajiferuke, I.; Lu, K.; Wolfram, D.: ¬A comparison of citer and citation-based measure outcomes for multiple disciplines (2010) 0.01
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    Date
    28. 9.2010 12:54:22
    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.10, S.2086-2096
  9. Xie, H.I.; Wolfram, D.: State digital library usability contributing organizational factors (2002) 0.01
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    Date
    21. 7.2006 10:44:29
    Source
    Journal of the American Society for Information Science and technology. 53(2002) no.13, S.1085-1097
  10. Castanha, R.C.G.; Wolfram, D.: ¬The domain of knowledge organization : a bibliometric analysis of prolific authors and their intellectual space (2018) 0.01
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    Abstract
    The domain of knowledge organization (KO) represents a foundational area of information science. One way to better understand the intellectual structure of the KO domain is to apply bibliometric methods to key contributors to the literature. This study analyzes the most prolific contributing authors to the journal Knowledge Organization, the sources they cite and the citations they receive for the period 1993 to 2016. The analyses were conducted using visualization outcomes of citation, co-citation and author bibliographic coupling analysis to reveal theoretical points of reference among authors and the most prominent research themes that constitute this scientific community. Birger Hjørland was the most cited author, and was situated at or near the middle of each of the maps based on different citation relationships. The proximities between authors resulting from the different citation relationships demonstrate how authors situate themselves intellectually through the citations they give and how other authors situate them through the citations received. There is a consistent core of theoretical references as well among the most productive authors. We observed a close network of scholarly communication between the authors cited in this core, which indicates the actual role of the journal Knowledge Organization as a space for knowledge construction in the area of knowledge organization.
    Source
    Knowledge organization. 45(2018) no.1, S.13-22
  11. Wang, F.; Wolfram, D.: Assessment of journal similarity based on citing discipline analysis (2015) 0.00
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    Abstract
    This study compares the range of disciplines of citing journal articles to determine how closely related journals assigned to the same Web of Science research area are. The frequency distribution of disciplines by citing articles provides a signature for a cited journal that permits it to be compared with other journals using similarity comparison techniques. As an initial exploration, citing discipline data for 40 high-impact-factor journals assigned to the "information science and library science" category of the Web of Science were compared across 5 time periods. Similarity relationships were determined using multidimensional scaling and hierarchical cluster analysis to compare the outcomes produced by the proposed citing discipline and established cocitation methods. The maps and clustering outcomes reveal that a number of journals in allied areas of the information science and library science category may not be very closely related to each other or may not be appropriately situated in the category studied. The citing discipline similarity data resulted in similar outcomes with the cocitation data but with some notable differences. Because the citing discipline method relies on a citing perspective different from cocitations, it may provide a complementary way to compare journal similarity that is less labor intensive than cocitation analysis.
    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.6, S.1189-1198
  12. Wolfram, D.; Spink, A.; Jansen, B.J.; Saracevic, T.: Vox populi : the public searching of the Web (2001) 0.00
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    Source
    Journal of the American Society for Information Science and technology. 52(2001) no.12, S.1073-1074
  13. Wittig, C.; Wolfram, D.: ¬A survey of networking education in North American library schools (1994) 0.00
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    Abstract
    Reports results of a survey of US library schools to investigate the adoption, impact, and role of networking concepts and resources, such as the Internet, in the library and information science curriculum. Findings indicate that, to a large degree, educators have kept up with recent trends and tools in networking in a variety of courses. There was overwhelming consensus on the importance of networked information resources and access tools but less agreement on their places in the library and information science curriculum
  14. Wolfram, D.; Olson, H.A.; Bloom, R.: Measuring consistency for multiple taggers using vector space modeling (2009) 0.00
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    Abstract
    A longstanding area of study in indexing is the identification of factors affecting vocabulary usage and consistency. This topic has seen a recent resurgence with a focus on social tagging. Tagging data for scholarly articles made available by the social bookmarking Website CiteULike (www.citeulike.org) were used to test the use of inter-indexer/tagger consistency density values, based on a method developed by the authors by comparing calculations for highly tagged documents representing three subject areas (Science, Social Science, Social Software). The analysis revealed that the developed method is viable for a large dataset. The findings also indicated that there were no significant differences in tagging consistency among the three topic areas, demonstrating that vocabulary usage in a relatively new subject area like social software is no more inconsistent than the more established subject areas investigated. The implications of the method used and the findings are discussed.
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.10, S.1995-2003
  15. Wolfram, D.; Dimitroff, A.: Preliminary findings on searcher performance and perceptions of performance in a hypertext bibliographic retrieval system (1997) 0.00
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    Abstract
    Reports on research examining the relationship of searcher performance and perception of performance, particulary for hypertext-based onformation retrieval systems for bibliographic data. Employs a prototype hypertext bibliographic retrieval system called HyperLynx. Evaluates its use by 83 subjects at the School of Library and Information Science and the Golda Meir Library at the University of Wisconsin-Milwaukee, USA. Measures of system usgae indicate that there is no significant relationship between confidence and the number of record pages visited, although confident searchers searched for shorter time periods. The reality check measures shows that both novice and experienced searchers were over confident in their performance
    Source
    Journal of the American Society for Information Science. 48(1997) no.12, S.1142-1145
  16. Wolfram, D.: ¬The power to influence : an informetric analysis of the works of Hope Olson (2016) 0.00
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    Abstract
    This paper examines the influence of the works of Hope A. Olson by conducting an ego-centric informetric analysis of her published works. Publication and citation data were collected from Google Scholar and the Thomson Reuters Web of Science. Classic informetrics techniques were applied to the datasets including co-authorship analysis, citer analysis, citation and co-citation analysis and text-based analysis. Co-citation and text-based data were analyzed and visualized using VOSviewer and CiteSpace, respectively. The analysis of her citation identity reveals how Dr. Olson situates her own research within the knowledge landscape while the analysis of her citation image reveals how others have situated her work in relation to the authors with whom she has been co-cited. This reflection of Dr. Olson's research contributions reveals the influence of her scholarship not only on knowledge organization but other areas of library and information science and allied disciplines.
  17. Minitroff, A.; Wolfram, D.: Design issues in a hypertext-based information system for bibliographic retrieval (1993) 0.00
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    Source
    Integrating technologies - converging professions: proceedings of the 56th Annual Meeting of the American Society for Information Science, Columbus, OH, 24-28 October 1993. Ed.: S. Bonzi
  18. Lu, K.; Wolfram, D.: Measuring author research relatedness : a comparison of word-based, topic-based, and author cocitation approaches (2012) 0.00
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    Abstract
    Relationships between authors based on characteristics of published literature have been studied for decades. Author cocitation analysis using mapping techniques has been most frequently used to study how closely two authors are thought to be in intellectual space based on how members of the research community co-cite their works. Other approaches exist to study author relatedness based more directly on the text of their published works. In this study we present static and dynamic word-based approaches using vector space modeling, as well as a topic-based approach based on latent Dirichlet allocation for mapping author research relatedness. Vector space modeling is used to define an author space consisting of works by a given author. Outcomes for the two word-based approaches and a topic-based approach for 50 prolific authors in library and information science are compared with more traditional author cocitation analysis using multidimensional scaling and hierarchical cluster analysis. The two word-based approaches produced similar outcomes except where two authors were frequent co-authors for the majority of their articles. The topic-based approach produced the most distinctive map.
    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.10, S.1973-1986
  19. Park, H.; You, S.; Wolfram, D.: Informal data citation for data sharing and reuse is more common than formal data citation in biomedical fields (2018) 0.00
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    Abstract
    Data citation, where products of research such as data sets, software, and tissue cultures are shared and acknowledged, is becoming more common in the era of Open Science. Currently, the practice of formal data citation-where data references are included alongside bibliographic references in the reference section of a publication-is uncommon. We examine the prevalence of data citation, documenting data sharing and reuse, in a sample of full text articles from the biological/biomedical sciences, the fields with the most public data sets available documented by the Data Citation Index (DCI). We develop a method that combines automated text extraction with human assessment for revealing candidate occurrences of data sharing and reuse by using terms that are most likely to indicate their occurrence. The analysis reveals that informal data citation in the main text of articles is far more common than formal data citations in the references of articles. As a result, data sharers do not receive documented credit for their data contributions in a similar way as authors do for their research articles because informal data citations are not recorded in sources such as the DCI. Ongoing challenges for the study of data citation are also outlined.
    Source
    Journal of the Association for Information Science and Technology. 69(2018) no.11, S.1346-1354
  20. Wolfram, D.: Inter-record linkage structure in a hypertext bibliographic retrieval system (1996) 0.00
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    Source
    Journal of the American Society for Information Science. 47(1996) no.10, S.765-774